*** OPEN LOG/OUTPUT FILE ***

log using "C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\May 2020\Output Files\selling_out.MANUSCRIPT MODELS.06-01-2021.smcl", replace





*** MODELING CONTRACT LENGTH FOR GIVEN CONTRACTUAL DESIGNS FOR U.S. FEDERAL PROCUREMENTS [SUPPLY & COST STRUCTURES] EXCEEDING FAR SIMPLE REQUIREMENTS ***



**** ACCESS DATABASE ***

use "C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\Data\zarit_contractingdata_duration.FAR threshold.5_29_2021.dta", replace




***** GENERATE BINARY INDICATORS FOR EACH TYPE OF CONTRACTUAL STRUCTURE SUBSAMPLE ****


*** FAVORABLE AGENCY CONTRACTS ON BOTH SUPPLY AND COST DIMENSIONS ***

**gen m11 = 1 if tri_bid==0 & fixedfirmprice==1
**replace m11 = 0 if m11 ==.
*
*
*
*
*
*
*** UNFAVORABLE AGENCY CONTRACTS ON BOTH SUPPLY AND COST DIMENSIONS ***

**gen m00closed = 1 if tri_bid==2 & fixedfirmprice==0
**replace m00closed = 0 if m00closed ==.
*
*


***********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************


*** COMPUTE 2009 CONSTANT DOLLAR VALUES AND CONVERT INTO NATURAL LOGARITHMS(+1) ***  

**gen annualrevenue_adj = annualrevenue/(gdpdef*.01)
*
**gen lnannualrevenue_adj = ln(annualrevenue_adj + 1)
*
*
**gen vendorsum_adj = vendor_sum/(gdpdef*.01)
*
**gen lnvendorsum_adj = ln(vendorsum_adj)
*
*
**gen pres_donor_pac_amount_adj = pres_donor_pac_amount/(gdpdef*.01)
*
**gen lnpres_donor_pac_amount_adj = ln(pres_donor_pac_amount_adj + 1)





*** PART I DESCRIPTIVE ANALYSES: CHOICE OF CONTRACT STRUCTURE [PROBIT REGRESSIONS ANALYZING VARIOUS COMBINATIONS OF CONTRACT STRUCTURES: SUPPLY & COST STRUCTURE COMBINATIONS]




 
*** FIGURE 1 ***


*** {MATT, PLEASE MAKE FIGURE 1 GRAPH OF "FIGURE 1: DISTRIBUTION OF FEDERAL CONTRACTS BY CONTRACT TYPE AND DURATION: FAVORABLE VERSUS UNFAVORABLE 'BUYER' TERMS FOR GOVERNMENT" ///
*** FROM LEFT TO RIGHT [SPACED OUT BY GROUPINGS BELOW]: 


*** BAR  1: MULTIPLE BIDS & FIXED COSTS -- FULL SAMPLE [BAR 1: CONTRACT TYPE PROPORTION & NUMBER]

*** BAR  4: ALL CONTRACTS -- FULL SAMPLE [BAR 4: CONTRACT TYPE PROPORTION & NUMBER]


*** BAR  7: SINGLE BIDS [CLOSED] & VARIABLE COSTS -- FULL SAMPLE [BAR 7: CONTRACT TYPE PROPORTION & NUMBER]





***********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



*** PART II ANALYSES: CHOICE OF CONTRACT STRUCTURE [PROBIT REGRESSIONS ANALYZING VARIOUS COMBINATIONS OF CONTRACT STRUCTURES: SUPPLY & COST STRUCTURE COMBINATIONS]





***  LOW RISK CONTRACTUAL DESIGNS FROM U.S. FEDERAL GOVERNMENT'S PERSPECTIVE AS A "BUYER" **



** 1. FULLY BENEFICIAL TERMS FOR BUYER/AGENCY EFFECTIVE: **
**    MULTIPLE/COMPETITIVE BIDS  & FIXED COST CONTRACTS [COST PLUS, TIME & MATERIALS, & LABOR] [N = 1,095,724] ***

probit m11 c.agency_packing##execlevel##pol_align  c.agency_packing##execlevel##pol_opposed  perc_prof  selin1_abszero  selin2_abszero unified lnannualrevenue_adj house_app house_ways house_majority  close_congelect_dist     dod dc_area goods_services lnvendorsum_adj lndollarsobligated_adj  pres_donor_pac lnpres_donor_pac_amount_adj   i.agency yearfe2 yearfe3 yearfe4 yearfe5 yearfe6 yearfe7 yearfe8 yearfe9 yearfe10 yearfe11 yearfe12 yearfe13 yearfe14 yearfe15 yearfe16   i.psc_id, vce(cluster agency)
*
estat ic
*


*** FIGURES 2 & 3 ***


*** 1.1 PRESIDENTIAL ALIGNED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
***     [N = 202,829] ***

* Compute within-agency & overall distribution of agency_packing 'moderator' covariate *
egen meanagency_packing = mean(agency_packing), by(agency)
gen withinagency_packing = agency_packing - meanagency_packing
*
*
sum withinagency_packing if e(sample) & pol_align==1, detail
*
sum agency_packing if e(sample) & pol_align==1, detail
*
* 
** Compute Marginal Effects at Three Distinct Values of Within-Agency Distribution of agency_packing 'moderator': ///
** 10th Percentile (LOW)  & 90TH Percentile [HIGH]

* IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [1 & 2] * 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1)  level(90)
*
* IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [3]* 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [4 & 5] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) 
*
* IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [6] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY ALIGNED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [7 & 8] * 
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at))
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at)) level(90)
*



********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
  

*** 1.2 PRESIDENTIAL OPPOSED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & AND 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
***     [N = 502,976] 

* Compute within-agency & overall distribution of agency_packing 'moderator' covariate *
sum withinagency_packing if e(sample) & pol_opposed==1, detail
sum agency_packing if e(sample) & pol_opposed==1, detail
*
 
** Compute Marginal Effects at Three Distinct Values of Within-Agency Distribution of agency_packing 'moderator': ///
** 10th Percentile (LOW) & 90TH Percentile [HIGH]


* IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [9 & 10] * 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) level(90)
*
* IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [11] * 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [12 & 13] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) level(90)
*
* IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [14] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY OPPOSED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [15 & 16] * 
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at))
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at)) level(90)
*

* FIGURE 2A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES: 1  2  3      4  5  6     7  8
* FIGURE 2B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 9 10 11     12 13 14    15 16

*** FOR FIGURES 3A & 3B -- CONVERT ESTIMATES 3, 6, 7, & 8 [IDEOLOGICALLY ALIGNED]  PLUS 11, 14, 15 & 16 [IDEOLOGICALLY OPPOSED] IN TERMS OF THE FOLLOWING: (A) PREDICTED NUMBER OF CONTRACTS AFFECTED AMONG LOW RISK CONTRACTS IN
*                          SAMPLE, (B) PREDICTED TOTAL MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE, & (C) PREDICTED PROPORTION OF MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE  

* FIGURE 3A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES:  3(A-C)    6(A-C)          7(A-C)    8(A-C)
* FIGURE 3B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 11(A-C)   14(A-C)         15(A-C)   16(A-C) 


*** A: PREDICTED NUMBER OF CONTRACTS AFFECTED: This is computed as marginal probability effect × number of multiple bid and fixed cost procurements in the regression sample, conditional on both a given president-agency ideological configuration [ALIGN/NEUTRAL/OPPOSED] and organizational level for procurement agreements [EXECUTIVE LEVEL/NON-EXECUTIVE LEVEL].

*
*

*** B: PREDICTED CONSTANT DOLLAR VALUE IMPACT: Predicated by Predicted Number of Multiple Bid and Fixed Cost Contracts Affected Relative to the total 2009 constant dollar value of these subset of observations in the regression sample [E.G., ALIGNED | EXECUTIVE LEVEL;  ALIGNED | NON-EXECUTIVE LEVEL; ETC....].

*
*

*** C: PREDICTED PROPORTIONAL CONSTANT DOLLAR VALUE IMPACT [i.e., B] RELATIVE TO SUM/TOTAL OF ALL SAMPLE CONTRACTS OF LOW GOVERNMENT RISK: 


**************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** HIGH RISK CONTRACTUAL DESIGNS FROM U.S. FEDERAL GOVERNMENT'S PERSPECTIVE AS A "BUYER" ***




** 2.  FULLY BENEFICIAL TERMS FOR SELLER/CONTRACTOR: [N = 1,095,646] **
**     SINGLE BIDS [CLOSED PROCESS] & VARIABLE COST CONTRACTS [COST PLUS, TIME & MATERIALS, & LABOR] **

probit m00closed c.agency_packing##execlevel##pol_align  c.agency_packing##execlevel##pol_opposed  perc_prof  selin1_abszero  selin2_abszero unified lnannualrevenue_adj house_app house_ways house_majority  close_congelect_dist   dod dc_area goods_services lnvendorsum_adj lndollarsobligated_adj   pres_donor_pac lnpres_donor_pac_amount_adj i.agency yearfe2 yearfe3 yearfe4 yearfe5 yearfe6 yearfe7 yearfe8 yearfe9 yearfe10 yearfe11 yearfe12 yearfe13 yearfe14 yearfe15 yearfe16  i.psc_id , vce(cluster agency)
*
estat ic
*
*
*

*** FIGURES 4 & 5 ***


*** 2.1 PRESIDENTIAL ALIGNED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
***    [N = 202,129] ***

* IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [1 & 2] * 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) level(90)
*
* IDEOLOGICALLY ALIGNED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [3]* 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [4 & 5] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) level(90)
*
* IDEOLOGICALLY ALIGNED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [6] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY ALIGNED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [7 & 8] * 
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at))
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_align==1) contrast(atcontrast(r._at)) level(90)
*



********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
 
  
*** 2.2 PRESIDENTIAL OPPOSED AGENCIES: EVALUATED AT 10TH PCTILE [LOW POLITICIZATION] & 90TH PCTILE [HIGH POLITICIZATION] VALUES OF WITHINAGENCY_PACKING ///
***     [N = 500,873] ***

* Compute within-agency & overall distribution of agency_packing 'moderator' covariate *
sum withinagency_packing if e(sample) & pol_opposed==1, detail
sum agency_packing if e(sample) & pol_opposed==1, detail
*
 
** Compute Marginal Effects at Three Distinct Values of Within-Agency Distribution of agency_packing 'moderator': ///
** 10th Percentile (LOW) & 90TH Percentile [HIGH]


* IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [9 & 10] * 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1)  level(90)
*
* IDEOLOGICALLY OPPOSED AGENCIES: LOW APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [11] * 
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare
margins ,  at(agency_packing = (-0.0641362)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- COMPARING NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [12 & 13] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1)  
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1)  level(90)
*
* IDEOLOGICALLY OPPOSED AGENCIES: HIGH APPOINTEE POLITICIZATION -- PREDICTED PROBABILITY DIFFERENCE BETWEEN NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [14] * 
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare
margins ,  at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) pwcompare level(90)
*
*
*
* IDEOLOGICALLY OPPOSED AGENCIES: PREDICTED PROBABILITY DIFFERENCE BETWEEN HIGH & LOW APPOINTEE POLITICIZATION FOR BOTH NON-EXECUTIVE & EXECUTIVE LEVEL CONTRACTING DECISIONS [15 & 16] 
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at))
margins ,  at(agency_packing = (-0.0641362)) at(agency_packing = (0.014702)) over(execlevel) subpop(if pol_opposed==1) contrast(atcontrast(r._at)) level(90)
*
*




* FIGURE 4A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES: 1  2  3      4  5  6     7  8
* FIGURE 4B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 9 10 11     12 13 14    15 16

*** FOR FIGURES 5A & 5B -- CONVERT ESTIMATES 3, 6, 7, & 8 [IDEOLOGICALLY ALIGNED]  PLUS 11, 14, 15 & 16 [IDEOLOGICALLY OPPOSED] IN TERMS OF THE FOLLOWING: (A) PREDICTED NUMBER OF CONTRACTS AFFECTED AMONG LOW RISK CONTRACTS IN
*                          SAMPLE, (B) PREDICTED TOTAL MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE, & (C) PREDICTED PROPORTION OF MONETARY VALUE AFFECTED AMONG LOW RISK CONTRACTS IN SAMPLE  

* FIGURE 5A [IDEOLOGICALLY ALIGNED AGENCIES] -- PLACEMENT OF ESTIMATES:  3(A-C)    6(A-C)          7(A-C)    8(A-C)
* FIGURE 5B [IDEOLOGICALLY OPPOSED AGENCIES] -- PLACEMENT OF ESTIMATES: 11(A-C)   14(A-C)         15(A-C)   16(A-C) 


*** A: PREDICTED NUMBER OF CONTRACTS AFFECTED: This is computed as marginal probability effect × number of multiple bid and fixed cost procurements in the regression sample, conditional on both a given president-agency ideological configuration [ALIGN/NEUTRAL/OPPOSED] and organizational level for procurement agreements [EXECUTIVE LEVEL/NON-EXECUTIVE LEVEL].

*
*

*** B: PREDICTED CONSTANT DOLLAR VALUE IMPACT: Predicated by Predicted Number of Multiple Bid and Fixed Cost Contracts Affected Relative to the total 2009 constant dollar value of these subset of observations in the regression sample [E.G., ALIGNED | EXECUTIVE LEVEL;  ALIGNED | NON-EXECUTIVE LEVEL; ETC....].

*
*

*** C: PREDICTED PROPORTIONAL CONSTANT DOLLAR VALUE IMPACT [i.e., B] RELATIVE TO SUM/TOTAL OF ALL SAMPLE CONTRACTS OF HIGH GOVERNMENT RISK: 



 
 
 

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




save "C:\Users\gk57526\Dropbox\Executive Particularism (Matt Zarit)\Contract Duration\May 2020\zarit_contractingdata_duration.FAR threshold.05-29-2021.GAK.dta", replace




log close
